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Cross recurrence quantification for cover song identification
2009
New Journal of Physics
There is growing evidence that nonlinear time series analysis techniques can be used to successfully characterize, classify, or process signals derived from realworld dynamics even though these are not necessarily deterministic and stationary. In the present study we proceed in this direction by addressing an important problem our modern society is facing, the automatic classification of digital information. In particular, we address the automatic identification of cover songs, i.e. alternative
doi:10.1088/1367-2630/11/9/093017
fatcat:gjom3d2ylrgtxdmkbi5gpl2ane